What is One-sample T-test? Easy Explanation for Data Science Interviews

The t-test is one of the most basic, and commonly used hypothesis tests. There are many data science interview questions on t-tests, so in this video, we’ll dive into when to use it, and how to conduct one-sample t-tests. 🟢 Get all my free data science interview resources https://www.emmading.com/get-all-my-free-resources 🟡 Product Case Interview Cheatsheet https://www.emmading.com/product-case-cheat-sheet 🟠 Statistics Interview Cheatsheet https://www.emmading.com/statistics-interview-cheat-sheet 🟣 Behavioral Interview Cheatsheet https://www.emmading.com/behavioral-interview-cheat-sheet 🔵 Data Science Resume Checklist https://www.emmading.com/data-science-resume-checklist ✅ We work with Experienced Data Scientists to help them land their next dream jobs. Apply now: https://www.emmading.com/coaching // Comment Got any questions? Something to add? Write a comment below to chat. // Let's connect on LinkedIn: https://www.linkedin.com/in/emmading001/ ==================== Contents of this video: ==================== 0:00 Intro 0:58 Comparison between t-test and z-test 2:22 Assumptions of the t-test 3:20 The test statistic of the t-test 2:24 Difference between the t-distribution and the normal distribution 6:14 Application of the t-test for one-sample mean 9:40 Confidence intervals for the population mean using the t-test